---
title: "Zijing Wang — author profile and papers · Vision & language"
description: "Zijing Wang, Northeastern University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zijing-wang/"
---
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# Zijing Wang

Zijing Wang has 3 papers in our library, in 2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/), [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139741671) · [**h-index 0**](https://openalex.org/authors/A5139741671) · [2 works](https://openalex.org/works?filter=author.id:A5139741671) · [0 citations](https://openalex.org/works?filter=author.id:A5139741671&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zijing-wang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/zijing-wang/cited-by/) · [⭐ Paper Stars ranking: #10860](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10860)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zijing+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zijing+Wang) · [dblp](https://dblp.org/search?q=Zijing+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Zijing+Wang)

## Affiliations

[🎓**Northeastern University** Shenyang · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/zijing-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Why Do More Experts Fail? A Theoretical Analysis of Model Merging](https://md.research.elamur.ai/free/en/papers/wang-2026-why-do-more-experts-fail/)** *(2026 · 2 citations)* Merging several fine-tuned expert models into one multi-task model saves storage and compute. However, adding more experts stops helping quickly: state-of-the-art methods such as GENOME level off at around six merged models on most datasets. This paper asks why that ceiling exists. Using high-dimensional geometry…
2. **[PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-plam-training-free-plateau-guided/)** *(2026 · 1 citation)* Multimodal instruction fine-tuning tends to weaken the text reasoning that MLLMs inherit from their base language models.
3. **[Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-look-within-or-beyond-theoretical/)** *(2026)* Parameter-efficient fine-tuning (PEFT) methods such as LoRA often match full fine-tuning (FFT) on standard benchmarks. It is less clear whether they hold up on harder tasks like reasoning and instruction-following, or under adversarial inputs. The authors address this with a theoretical analysis backed by experiments.

## Co-authors here

12 co-authors with a page, the most papers together first.

- [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) ×3
- [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) ×3
- [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ×3
- [YongKang Liu](https://md.research.elamur.ai/free/en/authors/yongkang-liu/) ×3
- [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/) ×2
- [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/) ×2
- [Xingle Xu](https://md.research.elamur.ai/free/en/authors/xingle-xu/) ×2
- [Mingyang Wang](https://md.research.elamur.ai/free/en/authors/mingyang-wang/)
- [Peiqin Lin](https://md.research.elamur.ai/free/en/authors/peiqin-lin/)
- [Qian Li](https://md.research.elamur.ai/free/en/authors/qian-li/)
- [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/)
- [Yiqun Zhang](https://md.research.elamur.ai/free/en/authors/yiqun-zhang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/zijing-wang/cited-by/).

Updated 1 November 2026
